基于人工智能的多元回归算法在工作空间中人的发展指示中的应用

Tanyaa Singh, Anshul Mandawat, L. Mohit Reddy, Aakash Panchagnula, Darsh Pandya, Tanvi Salian
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引用次数: 0

摘要

人类的本能高度重视发展,在我们生活的各个方面都有一种继续扩展和变化的自然愿望。这种改善在小孩和青少年中并不奇怪,而且稳定,很容易注意到。它实际上需要随着时间的推移而发展和创造,尽管它可能看起来有些独特。由于人们的大部分时间都花在了工作上,所以专业的发展和成长是非常重要的。许多人会想找另一份工作,以防在工作中没有机会获得熟练的进展。在一个工作环境中,鼓励和支持代表工作在他们的关系,离家近,和专家能力,发展和改进是可用的。这些组织为代表提供不同的内部和外部选择,以扩大他们的能力范围。这将有助于他们目前的工作,并进一步帮助他们为预期的未来工作做好准备。在人类进步的过程中,一种召唤常常召唤力量和对应能力的领域,以更容易地解决个人的问题,并帮助他们改进或修补。在人类事件领域,你可以从事许多职位和职业,从帮助医学诊所的专家和临床专家到帮助学生取得学术进步。这项研究描述了人类一生的转折事件,并提供了15个潜在选择的纲要。本研究工作的主要目的是利用回归算法,并将其与决策树进行比较,分析回归算法的性能,提高回归算法的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Artificial Intelligence - based Multiple Regression Algorithm to indicate the Human Development in the Workspace
Human instinct puts a high worth on development, and there is a natural desire to continue extending and changing in all features of our life. This improvement is unsurprising and stable in small kids and youngsters, simplifying it to notice. Is is actually required to develop and create as years progress, in spite of the fact that it could seem somewhat unique. As people spend most of their time at work, it is highly important to develop and grow expertly. Many individuals will like to look for another work in the event that the open door emerges on the off chance that there aren't opportunities for proficient headway at work. In a working environment where representatives are urged and upheld to work on their relational, close to home, and expert capacities, development and improvement are available. Such organizations offer different inside and outside choices for representatives to grow their range of abilities. This will help them with their current work and furthermore assist them with being prepared for expected future ones. A calling in human advancement oftentimes calls areas of strength for and correspondence capacities to more readily address an individual's issues and help in their improvement or mending. There are many positions and vocation ways you can take in the field of human turn of events, from helping specialists and clinical experts in a medical clinic to helping understudies in making scholarly progress. This research study characterize a lifelong in human turn of events and provide a rundown of 15 potential choices. The main aim of this research work is to use the regressive algorithms and compare it with the decision tree to analyze the performance and improve the accuracy of the regression algorithm.
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